Ye, Y.; Lish, S. D.; Xu, L.; Woods, E.; Chen, S.; Ren, Y.; Wittmann, M. W.; Xu, H.; Gault, B.; Baker, I.: Exceptional Soft Magnetic Properties of an Ordered Multi-principal Element Alloy with Disordered Nanoprecipitates. High Entropy Alloys & Materials (2022)
Wu, M.; Li, Z.; Gault, B.; Munroe, P.; Baker, I.: The Effects of Carbon on the Phase Stability and Mechanical Properties of Heat-Treated FeNiMnCrAl High Entropy Alloys. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 748, pp. 59 - 73 (2019)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.